Python Generator Patterns
A guide to processing data lazily with Python generators for memory-efficient iteration and data pipeline construction.
Usage
Ask about generators, lazy evaluation, itertools, or data pipeline patterns.
Examples
- "Create a generator pipeline for processing log files"
- "How do I use yield from for generator delegation?"
- "Build a paginated API consumer with generators"
Guidelines
- Use generators for processing large datasets that don't fit in memory
- Use generator expressions for simple one-line generators
- Use yield from to delegate to sub-generators
- Combine generators with itertools for powerful data pipelines
- Use async generators for streaming async data sources